Started fine with the naive loop version but then they asked me to compress it further and I kind of stalled on the one-liner.
Start by writing a clear, readable function using a loop to build the bigrams, then refactor it step by step into a list comprehension and finally a one-liner using zip. Explain each transformation and the trade-offs in readability, performance, and memory usage.
Pro tip: Mention that zip(sentence.split(), sentence.split()[1:]) creates bigrams efficiently, but be aware it creates two lists; for large sentences, consider using itertools.tee or a generator to avoid duplication.
Confirm that bigrams are consecutive word pairs, and discuss handling of empty or single-word sentences (return empty list).
Write a function that splits the sentence into words, iterates through indices, and appends tuples of consecutive words to a list.
Replace the loop with a list comprehension that generates bigrams using indexing, e.g., [(words[i], words[i+1]) for i in range(len(words)-1)].
Use zip(words, words[1:]) to create bigrams in a single line, and explain how zip pairs elements from two iterables.
Compare readability, performance, and memory usage of each approach; mention alternatives like using itertools.tee or a generator for large inputs.
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